{"id":2889,"date":"2023-02-28T16:16:13","date_gmt":"2023-02-28T16:16:13","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2023\/02\/28\/flawless-fractal-food-featured-this-week-in-the-nvidia-studio\/"},"modified":"2023-02-28T16:16:13","modified_gmt":"2023-02-28T16:16:13","slug":"flawless-fractal-food-featured-this-week-in-the-nvidia-studio","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2023\/02\/28\/flawless-fractal-food-featured-this-week-in-the-nvidia-studio\/","title":{"rendered":"Flawless Fractal Food Featured This Week \u2018In the NVIDIA Studio\u2019"},"content":{"rendered":"
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Editor\u2019s note: This post is part of our weekly <\/i>In the NVIDIA Studio<\/i><\/a> series, which celebrates featured artists, offers creative tips and tricks, and demonstrates how <\/i>NVIDIA Studio<\/i><\/a> technology improves creative workflows.<\/i><\/p>\n

ManvsMachine<\/a> steps In the NVIDIA Studio<\/i> this week to share insights behind fractal art \u2014 which uses algorithms to artistically represent calculations \u2014 derived from geometric objects as digital images and animations.<\/p>\n

Ethos Reflected<\/b><\/h2>\n

Founded in London in 2007, ManvsMachine is a multidimensional creative company specializing in design, film and visual arts.<\/p>\n

\u00a0<\/p>\n

ManvsMachine works closely with the world\u2019s leading brands and agencies, including Volvo, Adidas, Nike and more, to produce award-winning creative content.<\/p>\n

\u00a0<\/p>\n

The team at ManvsMachine finds inspiration from a host of places: nature and wildlife, conversations, films, documentaries, as well as new and historic artists of all mediums.<\/p>\n

Fractal Food<\/b><\/h2>\n

For fans of romanesco broccoli, the edible flower bud resembling cauliflower in texture and broccoli in taste might conjure mild, nutty, sweet notes that lend well to savory pairings. For ManvsMachine, it presented an artistic opportunity.<\/p>\n

\"\"<\/a>
Romanesco broccoli is the inspiration behind \u2018Roving Romanesco.\u2019<\/figcaption><\/figure>\n

The Roving Romanesco<\/i> animation started out as a series of explorations based on romanesco broccoli, a prime example of a fractal found in nature.<\/p>\n

ManvsMachine\u2019s goal was to find an efficient way of recreating it in 3D and generate complex geometry using a simple setup.<\/p>\n

The genesis of the animation revolved around creating a phyllotaxis pattern, an arrangement of leaves on a plant stem, using the high-performance expression language VEX in SideFX\u2019s Houdini software.<\/p>\n

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Points offset at 137.5 degrees, known as the golden angle.<\/figcaption><\/figure>\n

This was achieved by creating numerous points and offsetting each from the previous one by 137.5 degrees, known as the golden or \u201cperfect circular\u201d angle, while moving outward from the center. The built-in RTX-accelerated Karma XPU renderer enabled fast simulation models powered by the team\u2019s GeForce RTX 3090 GPUs.<\/p>\n

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Individual florets begin to form.<\/figcaption><\/figure>\n

The team added simple height and width to the shapes using ramp controls then copied geometry onto those points inside a loop.<\/p>\n

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Romanesco broccoli starts to come together.<\/figcaption><\/figure>\n

With the basic structure intact, ManvsMachine sculpted florets individually to create a stunning 3D model in the shape of romanesco broccoli. The RTX-accelerated Karma XPU renderer dramatically sped up animations of the shape, as well.<\/p>\n

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\u201cCreativity is enhanced by faster ray-traced rendering, smoother 3D viewports, quicker simulations and AI-enhanced image denoising upscaling \u2014 all accelerated by NVIDIA RTX GPUs.\u201d \u2014 ManvsMachine<\/p>\n<\/div>\n

The project was then imported to Foundry\u2019s Nuke software for compositing and final touch-ups. When pursuing a softer look, ManvsMachine counteracted the complexity of the animation with some \u201ceasy-on-the-eyes\u201d materials and color choices with a realistic depth of field.<\/p>\n

Many advanced nodes in Nuke are GPU accelerated, which gave the team another speed advantage.<\/p>\n

Projects like Roving Romanesco<\/i> represent the high-quality work ManvsMachine strives to deliver for clients.<\/p>\n

\u201cOur ethos is reflected in our name,\u201d said ManvsMachine. \u201cEqual importance is placed on ideas and execution. Rather than sell an idea and then work out how to make it later, the preference is to present clients with the full picture, often leading with technique to inform the creative.\u201d<\/p>\n

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Designers, directors, visual effects artists and creative producers \u2014 team ManvsMachine.<\/figcaption><\/figure>\n

Check out @man.vs.machine on Instagram<\/a> for more inspirational work.<\/p>\n

Artists looking to hone their Houdini skills<\/a> can access Studio Shortcuts and Sessions on the NVIDIA Studio YouTube channel<\/a>. Discover exclusive step-by-step tutorials from industry-leading artists, watch inspiring community showcases and more, powered by NVIDIA Studio hardware<\/a> and software<\/a>.<\/p>\n<\/p>\n

Follow NVIDIA Studio on <\/i>Instagram<\/i><\/a>, <\/i>Twitter<\/i><\/a> and <\/i>Facebook<\/i><\/a>. Access tutorials on the <\/i>Studio YouTube channel<\/i><\/a> and get updates directly in your inbox by subscribing to the <\/i>Studio newsletter<\/i><\/a>.<\/i><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

https:\/\/blogs.nvidia.com\/blog\/2023\/02\/28\/in-the-nvidia-studio-february-28\/<\/p>\n","protected":false},"author":0,"featured_media":2890,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2889"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=2889"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2889\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/2890"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=2889"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=2889"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=2889"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}